| Graph Attention Networks P Veličković, G Cucurull, A Casanova, A Romero, P Liò, Y Bengio 6th International Conference on Learning Representations (ICLR 2018), 2018 | 23723* | 2018 |
| Deep Graph Infomax P Veličković, W Fedus, WL Hamilton, P Liò, Y Bengio, RD Hjelm 7th International Conference on Learning Representations (ICLR 2019), 2019 | 2698* | 2019 |
| Geometric deep learning: Grids, groups, graphs, geodesics, and gauges MM Bronstein, J Bruna, T Cohen, P Veličković arXiv preprint arXiv:2104.13478, 2021 | 1404 | 2021 |
| Principal neighbourhood aggregation for graph nets G Corso*, L Cavalleri*, D Beaini, P Liò, P Veličković Advances in Neural Information Processing Systems 33, 2020 | 733 | 2020 |
| Scientific discovery in the age of artificial intelligence H Wang*, T Fu*, Y Du*, W Gao, K Huang, Z Liu, P Chandak, S Liu, ... Nature 620 (7972), 47-60, 2023 | 625 | 2023 |
| Advancing mathematics by guiding human intuition with AI A Davies, P Veličković, L Buesing, S Blackwell, D Zheng, N Tomašev, ... Nature 600 (7887), 70-74, 2021 | 478 | 2021 |
| Large-Scale Representation Learning on Graphs via Bootstrapping S Thakoor, C Tallec, MG Azar, M Azabou, EL Dyer, R Munos, P Veličković, ... 10th International Conference on Learning Representations (ICLR 2022), 2022 | 449* | 2022 |
| Combinatorial optimization and reasoning with graph neural networks Q Cappart, D Chételat, EB Khalil, A Lodi, C Morris, P Veličković Journal of Machine Learning Research 24 (130), 1-61, 2023 | 391 | 2023 |
| Towards Sparse Hierarchical Graph Classifiers C Cangea*, P Veličković*, N Jovanović, T Kipf, P Liò arXiv preprint arXiv:1811.01287, 2018 | 305 | 2018 |
| Eta prediction with graph neural networks in google maps A Derrow-Pinion, J She, D Wong, O Lange, T Hester, L Perez, ... Proceedings of the 30th ACM international conference on information …, 2021 | 263 | 2021 |
| Neural Execution of Graph Algorithms P Veličković, R Ying, M Padovano, R Hadsell, C Blundell 8th International Conference on Learning Representations (ICLR 2020), 2020 | 185 | 2020 |
| Everything is connected: Graph neural networks P Veličković Current Opinion in Structural Biology 79, 102538, 2023 | 178 | 2023 |
| Parapred: antibody paratope prediction using convolutional and recurrent neural networks E Liberis, P Veličković, P Sormanni, M Vendruscolo, P Liò Bioinformatics 34 (17), 2944-2950, 2018 | 152 | 2018 |
| Simple GNN Regularisation for 3D Molecular Property Prediction and Beyond J Godwin, M Schaarschmidt, AL Gaunt, A Sanchez-Gonzalez, ... 10th International Conference on Learning Representations (ICLR 2022), 2022 | 144* | 2022 |
| Neural Algorithmic Reasoning P Veličković, C Blundell Patterns 2 (7), 2021 | 112 | 2021 |
| Drug-drug adverse effect prediction with graph co-attention A Deac, YH Huang, P Veličković, P Liò, J Tang arXiv preprint arXiv:1905.00534, 2019 | 91 | 2019 |
| The CLRS Algorithmic Reasoning Benchmark P Veličković, AP Badia, D Budden, R Pascanu, A Banino, M Dashevskiy, ... International Conference on Machine Learning 162, 22084-22102, 2022 | 87 | 2022 |
| On the role of planning in model-based deep reinforcement learning JB Hamrick, AL Friesen, F Behbahani, A Guez, F Viola, S Witherspoon, ... 9th International Conference on Learning Representations (ICLR 2021), 2021 | 80 | 2021 |
| Using deep data augmentation training to address software and hardware heterogeneities in wearable and smartphone sensing devices A Mathur, T Zhang, S Bhattacharya, P Velickovic, L Joffe, ND Lane, ... 2018 17th ACM/IEEE international conference on information processing in …, 2018 | 79 | 2018 |
| Message passing all the way up P Veličković arXiv preprint arXiv:2202.11097, 2022 | 72 | 2022 |
Pietro LiòProfessor, University of CambridgeVerified email at cam.ac.uk
